Desenvolvimento, validação, avaliação da incerteza de medição e análise de custos de método baseado em espectroscopia no infravermelho e análise multivariada para previsão de parâmetros de qualidade de amostras de E85

Detalhes bibliográficos
Ano de defesa: 2015
Autor(a) principal: Hatanaka, Rafael Rodrigues [UNESP]
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Estadual Paulista (Unesp)
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://hdl.handle.net/11449/126560
Resumo: The use of ethanol as fuel can reduce emissions of greenhouse gases and dependence on fossil fuels, as it can be obtained from renewable sources. However, this biofuel can present problems of ignition and driving in areas with cold climates due to lower vapor pressure in relation to gasoline. To avoid such problems, ethanol can be mixed with in various proportions (50-85% in Europe and the United States). These mixtures are commercially known as E85. Other parameters (such as methanol and water content) are also important to ensure the quality of the fuel and are fixed by international standards. Thus, the present study shows the development, validation and estimation of the uncertainty of analytical methods using spectroscopy in the infrared region (middle and near) and multivariate regression, which allow quantifying levels of ethanol, methanol, oil and water in E85 samples prepared in laboratory. The validation was made by calculating the figures of merit using the concept of net analytical signal (NAS). Thus, the proposed methods were able to quantify the levels of ethanol, methanol, oil and water linearly, free of systematic errors, with accuracy of 0.2% (m/m), 0.03% (m/m), 0.2% (m/m) and 0.03% (m/m), accuracy of 0.3% (m/m), 0.02% (m/m), 0.2% (m/m) and 0.02% (m/m), respectively, and measuring intervals covering whole range of parameters established by the standards. Furthermore, pseudounivariate forms of multivariate regression models (using NAS) were used to estimate uncertainty of measuring methods, allowing calculations in accordance with the Guide to the Expression of Uncertainty in Measurement and also Monte Carlo simulation.